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QuickNode MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 18 tools to Create Kv List, Create Kv Set, Create Stream, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect QuickNode through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The QuickNode MCP Server for Vercel AI SDK is a standout in the Ship It category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using QuickNode, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
QuickNode
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About QuickNode MCP Server

Connect your QuickNode account to any AI agent to orchestrate Web3 infrastructure through natural language. This server provides a comprehensive suite of tools to manage high-performance blockchain data pipelines and queries.

The Vercel AI SDK gives every QuickNode tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 18 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Streams Management — Create, list, and update real-time data streams for historical and live blockchain ingestion using create_stream and list_streams.
  • Webhooks — Deploy webhooks from templates (like EVM wallet filters or contract events) to deliver real-time events to your HTTP endpoints via create_webhook.
  • KV Store — Manage key-value pairs and lists to power advanced server-side filtering logic for your streams using create_kv_list and create_kv_set.
  • Core RPC — Access fundamental blockchain data, such as retrieving the most recent block number using rpc_eth_blocknumber.

The QuickNode MCP Server exposes 18 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 QuickNode tools available for Vercel AI SDK

When Vercel AI SDK connects to QuickNode through Vinkius, your AI agent gets direct access to every tool listed below — spanning web3, ethereum, rpc, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create kv list on QuickNode

Create a new KV Store list

create

Create kv set on QuickNode

Create a KV Store key-value pair

create

Create stream on QuickNode

Create a new QuickNode stream

create

Create webhook on QuickNode

Create a webhook from a template

delete

Delete kv set on QuickNode

Delete a KV Store key-value pair

delete

Delete stream on QuickNode

Delete a QuickNode stream

delete

Delete webhook on QuickNode

Delete a QuickNode webhook

get

Get kv list on QuickNode

Retrieve items from a KV Store list

get

Get kv set on QuickNode

Retrieve a value from KV Store sets

get

Get stream on QuickNode

Retrieve details of a specific QuickNode stream

list

List streams on QuickNode

List all active QuickNode streams

list

List webhooks on QuickNode

Retrieve all QuickNode webhooks

rpc

Rpc eth blocknumber on QuickNode

Returns the number of the most recent block

rpc

Rpc eth call on QuickNode

Executes a new message call immediately without creating a transaction

rpc

Rpc eth getlogs on QuickNode

Returns an array of all logs matching a given filter object

rpc

Rpc eth gettransactionreceipt on QuickNode

Returns the receipt of a transaction by hash

update

Update kv list on QuickNode

Add or remove items from a KV Store list

update

Update stream on QuickNode

Update an existing QuickNode stream

Connect QuickNode to Vercel AI SDK via MCP

Follow these steps to wire QuickNode into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 18 tools from QuickNode and passes them to the LLM

Why Use Vercel AI SDK with the QuickNode MCP Server

Vercel AI SDK provides unique advantages when paired with QuickNode through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same QuickNode integration everywhere

03

Built-in streaming UI primitives let you display QuickNode tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

QuickNode + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the QuickNode MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query QuickNode in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate QuickNode tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed QuickNode capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with QuickNode through natural language queries

Example Prompts for QuickNode in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with QuickNode immediately.

01

"List all my active QuickNode streams."

02

"Create a new webhook for EVM wallet filtering using the template 'evmWalletFilter'."

03

"What is the current block number on the network?"

Troubleshooting QuickNode MCP Server with Vercel AI SDK

Common issues when connecting QuickNode to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

QuickNode + Vercel AI SDK FAQ

Common questions about integrating QuickNode MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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